Applications of machine learning in drug discovery and development-Reference-Cited by-同舟云学术

Applications of machine learning in drug discovery and development

Published:2019-04-11 Issue:6 Volume:18 Page:463-477
ISSN:1474-1776
Container-title:Nature Reviews Drug Discovery
language:en
Short-container-title:Nat Rev Drug Discov

Author:

Vamathevan Jessica^ORCID,Clark Dominic,Czodrowski Paul^ORCID,Dunham Ian,Ferran Edgardo,Lee George,Li Bin,Madabhushi Anant,Shah Parantu,Spitzer Michaela,Zhao Shanrong

Publisher

Springer Science and Business Media LLC

Subject

Drug Discovery,Pharmacology,General Medicine

Link

http://www.nature.com/articles/s41573-019-0024-5.pdf

Reference114 articles.

1. Mamoshina, P. et al. Machine learning on human muscle transcriptomic data for biomarker discovery and tissue-specific drug target identification. Front. Genet. 9, 242 (2018).

2. LeCun, Y., Bengio, Y. & Hinton, G. Deep learning. Nature 521, 436 (2015).

3. Chen, H., Engkvist, O., Wang, Y., Olivecrona, M. & Blaschke, T. The rise of deep learning in drug discovery. Drug Discov. Today 23, 1241–1250 (2018). This article is the first effort to highlight the recent applications of DL in drug discovery research and is an introduction to some popular DL architectures.

4. Hinton, G. Deep learning — a technology with the potential to transform health care. JAMA 320, 1101–1102 (2018).

5. Wong, C. H., Siah, K. W. & Lo, A. W. Estimation of clinical trial success rates and related parameters. Biostatistics https://doi.org/10.1093/biostatistics/kxx069 (2018).

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